Lectures related to Programme principal: MATLAB et Octave pour débutants

MATLAB Essentials: Functions and Variables

Covers essential MATLAB functions, variables, loops, and debugging tools.

Introduces MATLAB and GNU Octave, covering basic concepts, workspace, data types, matrices, installation, and practical usage.

Functions: User Defined Functions

Introduces built-in and user-defined functions in MATLAB and Octave.

Implementation: MATLAB and Octave

Covers the implementation of MATLAB and Octave for beginners, including functions to ask for axes, plot ellipses, load files, and modify axes.

Matlab Programming: Script and Function

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Matlab 2: Vectorisation and Functions

Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.

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Matlab: 3D Surface Plotting

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Matlab: Interactive Mode and Project Steps

Introduces Matlab basics, error handling, and billiards project concepts.

Logistic Regression: Vegetation Prediction

Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.

Macroeconomic Model Analysis

Explores the impact of productivity shocks and government policies on key economic variables.

Neurophysiological Data Analysis

Covers neurophysiological data analysis, including data structure organization and action potential detection.

Implementation: MATLAB and Octave for Beginners

Covers the implementation of MATLAB and Octave for beginners, including functions like askAxes and plotEllipse.

Gaussian Mixture Models: Data Classification

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Main program: MATLAB and Octave

Covers the main program in MATLAB and Octave for beginners.

Matlab Functions and Debugging

Covers Matlab functions, debugging, and logical indexing with practical examples.

Metabolic Modeling Exercises

Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.

Gitlab Agent for Kubernetes (`agentk`)

Covers the setup of a Gitlab agent for Kubernetes, focusing on installation, version control, and troubleshooting.

Bode Diagram: Oscillatory System Synthesis

Covers the synthesis of an oscillatory system using the Bode diagram and MATLAB.

Programming for Engineers: Advanced MATLAB Techniques

Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.